A new class of finite-time nonlinear consensus protocols for multi-agent systems

2013/08/15 by Zongyu Zuo, Lin Tie · 12 citations
Computer Science · Engineering · #Distributed Control Multi-Agent Systems #Neural Networks Stability and Synchronization #Advanced Memory and Neural Computing

paper · doi:10.1080/00207179.2013.834484

Abstract

This paper is devoted to investigating the finite-time consensus problem for a multi-agent system in networks with undirected topology. A new class of global continuous time-invariant consensus protocols is constructed for each single-integrator agent dynamics with the aid of Lyapunov functions. In particular, it is shown that the settling time of the proposed new class of finite-time consensus protocols is upper bounded for arbitrary initial conditions. This makes it possible for network consensus problems that the convergence time is designed and estimated offline for a given undirected information flow and a group volume of agents. Finally, a numerical simulation example is presented as a proof of concept.

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Related

• Finite-time Consensus for Nonlinear Multi-agent Systems with Fixed Topologies
• Finite-Time Consensus Problems for Networks of Dynamic Agents
• Finite-time Consensus Protocols for Multi-dimensional Multi-agent Systems
• Finite-time Consensus for Multi-agent Networks with Unknown Inherent Nonlinear Dynamics
• Consensus in continuous-time multi-agent systems under discontinuous nonlinear protocols